karpathy-graph-query SKILL.md skillA

karpathy-graph-query from andersonlimahw/lemon-ai-hub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add andersonlimahw/lemon-ai-hub/karpathy-graph-query@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
andersonlimahw/lemon-ai-hub
Path
plugins/karpathy-graph/skills/karpathy-graph-query/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Aug 23, 2026
Size
4,369 bytes
Repository stars
17
License
MIT

Stage 4 of the karpathy-graph pipeline. Answer multi-hop questions from a knowledge graph by retrieving a bounded subgraph with edge citations, and ground or refute claims against actual graph paths. Use when the user asks a question that spans several facts, asks how two things connect, asks to verify or ground a claim, or when an agent needs task-specific context from an existing graph.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Query

The graph exists so agents stop replaying transcripts. That only works if
retrieval stays **bounded**.

## The rule

**Never dump the graph into a prompt.**

Not `graph.json`, not the full node list, not "just this once because it's
small". Retrieve the connected state needed for the current decision, and
nothing else. A graph used as a context dump is worse than no graph — it costs
the same tokens plus the build.

## Retrieval procedure

1. Resolve the entities the question mentions
2. Expand one or two hops over the edge types that matter
3. Filter by type, source, or date when the question implies it
4. Serialize within a token budget
5. Keep the edge ids so the answer can cite them

```bash
KG="${CLAUDE_PLUGIN_ROOT:-plugins/karpathy-graph}/scripts/kgraph.py"

python3 "$KG" --name "<graph>" query "vendor X" \
  --hops 2 \
  --edge-type SUPPORTS --edge-type MENTIONS \
  --max-nodes 40 \
  --format context
```

## Choosing hops

| Hops | Use for |
|---|---|
| 1 | "what is directly attached to X" |
| 2 | most questions — the default |
| 3 | explicit multi-hop chains (X → Y → Z) |
| 4+ | almost never; you are retrieving the whole graph with extra steps |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add andersonlimahw/lemon-ai-hub/karpathy-graph-query@sha256:a06c8fea87ea42fc

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_b3gl4gg72yz3lbdt.svg)](https://markdownregistry.com/a/art_b3gl4gg72yz3lbdt)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 23, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-08-23 5f57f3b 4,369 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4369 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

andersonlimahw/lemon-ai-hub · 17 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_b3gl4gg72yz3lbdt
GET https://markdownregistry.com/api/v1/resolve?ref=andersonlimahw/lemon-ai-hub/karpathy-graph-query
GET https://markdownregistry.com/api/v1/blob/a06c8fea87ea42fcb64cf4fea1902ae908db4c2527f5825798b6bedd7b645af7

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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